Chronicle preprocessing in Methodic

This repository contains code to process data from the Chronicle app, via Methodic.

Installation of the pymethodic module (located here) is required.

1. Clone this repository.
2. In Terminal (Mac) or the command prompt (Windows) navigate to the methodic_packages/pymethodic folder
3. Type in pip3 install .

The following fields are the outputs of Chronicle preprocessing:

• participant_id: Taken from the raw device data.
• app_record_type: (previously named app_data_type) The type of app interaction (i.e., "App Usage", "Screen Inactive").
• app_title: The title of the app
• app_fullname: The name of the app as it appears in the raw data.
• app_datetime_start: (previously named app_start_timestamp) The start timestamp of the app usage - in the timezone specified in the app_timezone column.
• app_datetime_end: (previously named app_end_timestamp) The end timestamp of the app usage - in the timezone specified in the app_timezone column.
• app_timezone: The timezone taken from the raw device data.
• app_duration_seconds: Duration (in seconds)
• day: The day of the week. The week starts on Sunday, i.e. 1 = Sunday, 2 = Monday, etc.
• weekdayMF: Whether or not this usage falls on a weekday: 1 = Mon-Fri, 0 = Sat+Sun
• weekdayMTh: Whether or not this usage falls on a weekday: 1 = Mon-Thu, 0 = Fri-Sun
• weekdaySTh: Whether or not this usage falls on a weekday: 1 = Sun-Thu, 0 = Fri+Sat
• app_engage_30s: T/F - was it the first time person used their phone is x minutes/seconds
• app_switched_app: (previously named app_switch_app) T/F - app was a different app than the one before
• app_usage_flags: Text flags for the following conditions, if present: "6-HR TIME GAP", "12-HR TIME GAP", "1-DAY TIME GAP" (1 day; previously named "Large time gap"), "3-HR APP DURATION" (previously named "Long app duration").